Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "40"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 40 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 37 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 35 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 40, Node N04:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459852 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.192072 -1.079827 -0.503190 -0.302531 1.104672 8.388029 -0.713109 -0.145798 0.8414 0.8429 0.2364 4.173082 3.934805
2459851 digital_ok 0.00% 0.00% 0.00% 0.00% 11.76% 0.00% 0.007907 -0.299849 -0.789522 0.138172 -0.123821 -1.322934 -0.262421 -1.210279 0.7756 0.7570 0.3270 1.831810 1.568817
2459850 digital_ok 0.00% 0.00% 0.00% 0.00% 18.02% 3.49% 0.359617 -0.566985 -0.540910 0.139138 -0.221433 -0.949293 -0.412513 -0.944154 0.7518 0.7606 0.3433 1.755755 1.535360
2459849 digital_ok 0.00% 0.00% 0.00% 0.00% 16.67% 0.00% 0.169138 -0.738607 -0.124196 0.352878 0.088225 -0.296450 -0.517192 -1.257076 0.7510 0.7531 0.3484 1.560223 1.389908
2459848 digital_ok 0.00% 0.00% 0.00% 0.00% 32.16% 0.00% 0.141179 -0.357444 -0.760877 -0.695167 -0.079228 -1.258720 -0.620463 -0.949361 0.7299 0.7565 0.3700 1.498221 1.329692
2459847 digital_ok 0.00% 0.00% 0.00% 0.00% 3.21% 22.99% 0.176854 -0.497268 -0.179831 -0.848612 0.746480 0.294541 -0.770820 -0.264502 0.7345 0.6896 0.4226 1.717993 1.551386
2459846 digital_ok 0.00% 0.00% 0.00% 0.00% 33.33% 0.00% 0.857040 -0.505797 -0.380302 -0.972944 2.721550 0.989581 -0.531726 -0.805518 0.8543 0.6953 0.4714 1.620644 1.496082
2459845 digital_ok 0.00% 0.00% 0.00% 0.00% 16.02% 83.98% 0.408613 0.044094 -0.839763 -0.903083 -0.149193 0.064586 -0.742082 -1.441271 0.7402 0.7602 0.3700 5.872930 7.096247
2459844 digital_ok 100.00% 0.00% 0.00% 0.00% - - 46.063211 47.757239 97.153723 99.871762 256.469980 243.707979 50.582623 67.831940 0.8825 0.5831 0.5993 nan nan
2459843 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.323275 0.743061 -1.044883 -0.788588 74.381578 80.594530 -0.552465 -0.455606 0.7550 0.7642 0.3828 4.032753 4.189799
2459840 digital_ok 100.00% 100.00% 100.00% 0.00% - - 2.171809 5.794705 -1.681691 -2.322895 0.221640 1.485961 0.482856 2.143593 0.0242 0.0235 0.0008 nan nan
2459839 digital_ok 0.00% - - - - - -0.271647 0.856373 0.763997 1.920337 -0.744149 -0.085773 0.119269 1.776455 nan nan nan nan nan
2459838 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 58.202284 120.419839 63.014129 94.527608 55.262106 145.363681 510.305548 1447.042028 0.0168 0.0165 0.0005 0.795215 0.791409
2459836 digital_ok - 0.00% 17.19% 0.00% - - nan nan nan nan nan nan nan nan 0.6335 0.5107 0.3957 nan nan
2459835 digital_ok 100.00% 0.00% 83.33% 0.00% - - 4.977442 5.546085 9.710349 8.208266 38.361549 52.010219 -2.171771 1.463265 0.7149 0.3763 0.5515 nan nan
2459833 digital_ok 100.00% 0.00% 5.38% 0.00% - - 17.806913 19.141789 28.160871 29.070274 311.632424 279.009283 42.707159 37.630155 0.7283 0.4245 0.5348 nan nan
2459832 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.461329 -0.467749 -0.979618 -0.816154 -0.445106 -0.480163 -0.386682 -0.858861 0.0880 0.0958 0.0190 1.192208 1.194872
2459831 digital_ok 0.00% 100.00% 100.00% 0.00% - - 1.049747 1.268683 1.326822 2.507522 -0.546900 -0.555361 -0.066608 1.091929 0.0343 0.0392 0.0015 nan nan
2459830 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.688057 -0.484647 -0.682919 -0.583800 0.941536 -1.089448 -0.279118 -0.977849 0.0820 0.0969 0.0228 1.223582 1.225549
2459829 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.556188 -0.238219 0.074968 -0.405593 -0.223252 -1.032502 0.580840 -0.929360 0.0802 0.0883 0.0150 40.425205 20.658126
2459828 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.698139 -0.155548 0.206029 -0.109481 1.764587 0.475484 0.469414 -0.819052 0.0746 0.0948 0.0188 1.273287 1.274489
2459827 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.558700 -0.271716 -0.256293 -0.544537 -0.294171 -0.920806 -0.825490 0.537754 0.0800 0.0878 0.0157 1.214938 1.214030
2459826 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.117709 -0.269652 -0.265033 -0.481482 2.842618 -0.144254 -0.344776 -0.767305 0.0697 0.0873 0.0180 1.474658 1.481823
2459825 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.005263 -0.586202 -0.379538 -0.408539 0.773538 -0.665390 -0.806414 -0.629526 0.0819 0.1017 0.0204 1.182496 1.170289
2459824 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.041342 -0.966281 -0.647425 -0.524825 -0.480360 -0.860652 -0.318949 -0.779334 0.0842 0.0911 0.0142 1.210912 1.209472
2459823 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.067552 0.121812 0.192441 -0.177182 1.805723 0.163904 0.341806 -0.330182 0.0897 0.0971 0.0226 1.210466 1.211290
2459822 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.048630 0.156524 0.270221 0.005662 1.487320 0.433718 -0.610309 -1.089531 0.0951 0.1009 0.0223 1.166033 1.164159
2459821 digital_ok 0.00% 11.29% 11.29% 0.00% 13.16% 0.00% -0.416533 -0.191610 0.237961 -0.404033 -0.178325 -0.437569 -1.842139 -1.620162 0.7271 0.5907 0.4295 2.043092 1.818467
2459820 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 3.21% 0.011754 -0.495644 0.020548 -0.435051 0.299393 -0.292679 -0.490198 -0.956891 0.7818 0.6995 0.4054 1.815292 1.680093
2459817 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 2.63% -0.339532 -0.512447 0.490941 -0.082007 0.670504 -0.509813 -0.522386 -0.603886 0.8223 0.6932 0.4841 2.316450 2.052808
2459816 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.024846 -0.048763 -0.621987 -0.355997 0.472905 -0.631324 0.753720 1.917741 0.8462 0.6084 0.5791 1.919063 1.632400
2459815 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 2.63% -0.592134 -0.292103 -0.123588 -0.281731 1.085330 0.144075 -0.259128 0.147601 0.8127 0.6951 0.4936 2.485538 2.143542
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 3.74% -0.025457 -0.377313 -0.009962 -0.710513 0.031750 -0.372246 0.742540 -0.652529 0.7990 0.7303 0.3862 3.061822 2.278450

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 40: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok nn Temporal Variability 8.388029 -0.192072 -1.079827 -0.503190 -0.302531 1.104672 8.388029 -0.713109 -0.145798

Antenna 40: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok nn Power 0.138172 0.007907 -0.299849 -0.789522 0.138172 -0.123821 -1.322934 -0.262421 -1.210279

Antenna 40: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Shape 0.359617 0.359617 -0.566985 -0.540910 0.139138 -0.221433 -0.949293 -0.412513 -0.944154

Antenna 40: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok nn Power 0.352878 0.169138 -0.738607 -0.124196 0.352878 0.088225 -0.296450 -0.517192 -1.257076

Antenna 40: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Shape 0.141179 -0.357444 0.141179 -0.695167 -0.760877 -1.258720 -0.079228 -0.949361 -0.620463

Antenna 40: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 0.746480 -0.497268 0.176854 -0.848612 -0.179831 0.294541 0.746480 -0.264502 -0.770820

Antenna 40: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 2.721550 0.857040 -0.505797 -0.380302 -0.972944 2.721550 0.989581 -0.531726 -0.805518

Antenna 40: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Shape 0.408613 0.044094 0.408613 -0.903083 -0.839763 0.064586 -0.149193 -1.441271 -0.742082

Antenna 40: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 256.469980 46.063211 47.757239 97.153723 99.871762 256.469980 243.707979 50.582623 67.831940

Antenna 40: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok nn Temporal Variability 80.594530 0.743061 0.323275 -0.788588 -1.044883 80.594530 74.381578 -0.455606 -0.552465

Antenna 40: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok nn Shape 5.794705 2.171809 5.794705 -1.681691 -2.322895 0.221640 1.485961 0.482856 2.143593

Antenna 40: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok nn Power 1.920337 0.856373 -0.271647 1.920337 0.763997 -0.085773 -0.744149 1.776455 0.119269

Antenna 40: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok nn Temporal Discontinuties 1447.042028 120.419839 58.202284 94.527608 63.014129 145.363681 55.262106 1447.042028 510.305548

Antenna 40: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok nn Temporal Variability 52.010219 5.546085 4.977442 8.208266 9.710349 52.010219 38.361549 1.463265 -2.171771

Antenna 40: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 311.632424 19.141789 17.806913 29.070274 28.160871 279.009283 311.632424 37.630155 42.707159

Antenna 40: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Shape 0.461329 0.461329 -0.467749 -0.979618 -0.816154 -0.445106 -0.480163 -0.386682 -0.858861

Antenna 40: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok nn Power 2.507522 1.049747 1.268683 1.326822 2.507522 -0.546900 -0.555361 -0.066608 1.091929

Antenna 40: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 0.941536 0.688057 -0.484647 -0.682919 -0.583800 0.941536 -1.089448 -0.279118 -0.977849

Antenna 40: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Discontinuties 0.580840 -0.238219 0.556188 -0.405593 0.074968 -1.032502 -0.223252 -0.929360 0.580840

Antenna 40: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 1.764587 -0.155548 0.698139 -0.109481 0.206029 0.475484 1.764587 -0.819052 0.469414

Antenna 40: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Shape 0.558700 0.558700 -0.271716 -0.256293 -0.544537 -0.294171 -0.920806 -0.825490 0.537754

Antenna 40: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 2.842618 -0.269652 0.117709 -0.481482 -0.265033 -0.144254 2.842618 -0.767305 -0.344776

Antenna 40: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 0.773538 -0.586202 -0.005263 -0.408539 -0.379538 -0.665390 0.773538 -0.629526 -0.806414

Antenna 40: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Shape -0.041342 -0.041342 -0.966281 -0.647425 -0.524825 -0.480360 -0.860652 -0.318949 -0.779334

Antenna 40: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 1.805723 0.121812 -0.067552 -0.177182 0.192441 0.163904 1.805723 -0.330182 0.341806

Antenna 40: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 1.487320 0.048630 0.156524 0.270221 0.005662 1.487320 0.433718 -0.610309 -1.089531

Antenna 40: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Power 0.237961 -0.191610 -0.416533 -0.404033 0.237961 -0.437569 -0.178325 -1.620162 -1.842139

Antenna 40: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 0.299393 0.011754 -0.495644 0.020548 -0.435051 0.299393 -0.292679 -0.490198 -0.956891

Antenna 40: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 0.670504 -0.339532 -0.512447 0.490941 -0.082007 0.670504 -0.509813 -0.522386 -0.603886

Antenna 40: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok nn Temporal Discontinuties 1.917741 -0.048763 0.024846 -0.355997 -0.621987 -0.631324 0.472905 1.917741 0.753720

Antenna 40: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Variability 1.085330 -0.292103 -0.592134 -0.281731 -0.123588 0.144075 1.085330 0.147601 -0.259128

Antenna 40: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 40: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
40 N04 digital_ok ee Temporal Discontinuties 0.742540 -0.377313 -0.025457 -0.710513 -0.009962 -0.372246 0.031750 -0.652529 0.742540
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